Stochastic

libSDE is a Java library to simulate Stochastic Differential Equations (SDEs).

KaSim is a stochastic simulator for rule-based models written in Kappa. A pdf of the reference manual is available here; the latex sources are available in the man/ directory.

MesoRD is a tool for stochastic simulation of reactions and diffusion [2]. In particular, it is an implementation of the Next Subvolume Method [3, 4], which is an exact method to simulate the Markov process corresponding to the reaction-diffusion master equation [5, 6, 7]. Since version 0.2.0...


Platforms: *nix

Perform Technical Analysis in Excel with Tulip Cell, the free technical analysis add-in for Excel! With Tulip Cell, you can quickly and easily do technical in any Excel spreadsheet. Tulip Cell is good for doing technical analysis on stock market data, Forex data, options and derivatives,...


Platforms: Windows, Windows 8, Windows 7, Windows Server

Precise Expert Advisor - TropicalStorm The TropicalStorm v2 is a very unique and very profitable expert advisor that uses several momentum and stochastic indicators including our very own custom built trade indicator. We use our custom indicators on multiple time frames to set up all trades. As...


Platforms: Windows, *nix

Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems. Features . Change Log: See ASA-CHANGES that...


Platforms: *nix

MesoRD is a stochastic and deterministic simulator of coupled chemical reactions and diffusions in space.


Platforms: Windows, Mac, BSD, Solaris, Linux

OpenBioGeoSim it's a open source software that simulates the stochastic origin and spread of species geographic ranges in a heterogeneous landscape. It's a free alternative based on Gary Entsminger's BioGeoSim.


Platforms: Windows, Mac, Linux

Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.


Platforms: Windows, Mac, Linux

=========================== Disclaimer: This application works best for stochastic textures (or images). Quality of results may vary for regular photographs. Our interface shows your result image with a "BEFORE" and "AFTER" si


Platforms: Mac

It needs as an input the value for wind speed to generate a stochastic sea-surface one-dimensional realization.It uses the Pierson-Moskowitz spectrum. Requirements: - MATLAB 7 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

GreatCharts is a program which will let you draw a wide range of stock-charts, for example Candlestick, OHLC and functions like MAC, Stochastic, RSI, etc. Chart can be plotted in a very configurable way, to any picture size.


Platforms: *nix, C/C++, BSD

This function localizes a single source from a frame of data received at the microphones. It uses the Steered Response Power with the PHAse Transform (SRP-PHAT) as the functional. The true source location will have the maximum SRP-PHAT value. Stochastic Region Contraction (SRC) is used as the...


Platforms: Matlab

There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and powerspectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The...


Platforms: Matlab

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more...


Platforms: Matlab

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.Please visit http://iew3.technion.ac.il/CE/ for more informationsi) Please compile mex-files by the mexme_ce_gauss.m (if compiler is not setup, run...


Platforms: Matlab

The priors may be: Litterman random walk plus drift prior; Raynauld-Simonato seasonal random walk plus drift prior or Canova prior: seasonal and non-seasonal unit roots via stochastic constraints + Litterman prior. Combination is achieved using Theil-Goldberger mixed estimation.Estimation uses...


Platforms: Matlab

It generates a stochastic field on a squared space. Samples are created by Latin hypercube sampling and the spatial correlation is performed by an algorithm based on Cholesky decomposition. Example inside.


Platforms: Matlab

The model here describes the classical SIS (Susceptible infected) Model It has been implemented using the Gillespie's stochastic algorithm. It is not meant for experts in the field but for people who need an introduction of how to implement the stochastic algorithm.Save the three files in the...


Platforms: Matlab

This practical function provides a tool for quickly including a random process within a Monte Carlo Simulation framework.The main input argument, is a string containing commands in Matlab syntax. Each execution of such string is an instance of a random process. The function expressionMCSsamples...


Platforms: Matlab